Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method comprising: determining, by a computer device, a content-offering value (COV) for each title of content of a plurality of titles of content identified in a content catalog, wherein the COVs indicate terms of offerings to a user for consuming each title of content; calculating, by the computer device for each title of content, a content-relevance value (CRV), wherein the CRV indicates respective relevancies of each title of content to the user; calculating, by the computer device for each title of content, a cost-content sensitivity index (CCSI) value indicative of the user's relative cost and content sensitivities, wherein the CCSI value is calculated for a time-of-day parameter or a content-genre parameter for consuming each title of content; calculating, by the computer device for each title of content, a cost-content tradeoff score (CCTS) based on the corresponding COV, the corresponding CRV, and the corresponding CCSI value; identifying, by the computer device, k number of titles of content of the plurality of titles of content having the highest CCTS; grouping, by the computer device, the k number of titles of content into a number of bands including similar ones of the terms of offerings; generating, by the computer device, a user interface including a grid array that includes at least some of the banded titles of content, wherein the grid array includes n number of rows and m number of columns of the graphic representations, and a centermost one of the n number of rows contains the banded titles of content having the highest CRV within each of the m number of columns; and presenting, by the computer device via the user interface, the grid array including graphic representations for the banded titles of content.
2. The method of claim 1 , further comprising: determining m and n based on at least one characteristic of a display device for the presenting, wherein the display device comprises a mobile device.
A method for optimizing content presentation on mobile devices addresses the challenge of adapting visual content to varying display characteristics. The method involves determining parameters m and n, which define aspects of the presentation, such as resolution, scaling, or layout adjustments. These parameters are calculated based on at least one characteristic of the mobile display device, such as screen size, resolution, pixel density, or aspect ratio. By dynamically adjusting m and n according to the device's specific display properties, the method ensures that content is rendered optimally, improving readability and visual quality. This approach enhances user experience by automatically tailoring presentations to the unique capabilities and constraints of different mobile devices, eliminating the need for manual adjustments. The method may also integrate with other techniques, such as adaptive scaling or dynamic layout generation, to further refine content delivery based on real-time device conditions.
3. The method of claim 1 , wherein an outermost column of the m number of columns contains the banded titles of content having the lowest COVs of the banded content of titles, and an opposing outermost column of the m number of columns contains the banded titles of content having the highest COVs of the banded content of titles.
This invention relates to organizing content titles in a display based on their coefficients of variation (COVs), a statistical measure of dispersion. The method addresses the challenge of presenting content in a way that highlights titles with varying levels of variability in their associated data. The system arranges titles into bands based on their COVs, then displays them in a grid with m columns. The outermost column on one side contains titles with the lowest COVs, indicating the least variability in their data, while the opposing outermost column on the other side contains titles with the highest COVs, indicating the most variability. Intermediate columns between these outermost columns contain titles with progressively higher or lower COVs, depending on their position relative to the outermost columns. This arrangement allows users to quickly identify and compare content based on the consistency or variability of their underlying data, improving decision-making and content selection. The method ensures that titles are sorted and displayed in a structured manner, enhancing readability and usability.
4. The method of claim 1 , wherein presenting the graphic representations comprises: varying a size of the graphic representations based on a first distance from the centermost one of then number of rows and based on a second distance from a centermost one of the m number of columns.
This invention relates to a method for displaying graphic representations in a grid layout, addressing the challenge of effectively presenting hierarchical or multi-dimensional data in a visually intuitive manner. The method organizes data into a grid with a specified number of rows and columns, where each cell in the grid contains a graphic representation of the data. The key innovation lies in dynamically adjusting the size of these graphic representations based on their positional relationship within the grid. Specifically, the size of each graphic is varied according to its distance from the centermost row and the centermost column. This means graphics closer to the center of the grid are displayed larger, while those farther from the center are displayed smaller. This approach enhances visual clarity by emphasizing central data points and de-emphasizing peripheral ones, making it easier for users to identify patterns or focal points in the dataset. The method can be applied in various domains, such as data visualization, user interfaces, or information dashboards, where hierarchical or spatially organized data needs to be presented in a structured yet visually dynamic format. The dynamic sizing helps users quickly grasp the relative importance or relevance of different data points based on their position within the grid.
5. The method of claim 1 , wherein the graphic representations include terms of the terms of offerings.
A system and method for visualizing and analyzing terms of offerings in a graphical format. The technology addresses the challenge of efficiently interpreting complex contractual or commercial terms, which are often presented in dense text, making it difficult for users to quickly assess key conditions, obligations, or risks. The invention provides a graphical representation of these terms, allowing users to visually compare, evaluate, and understand the implications of different offerings. The graphical representations may include interactive elements, such as color-coding, icons, or hierarchical structures, to highlight critical terms, dependencies, or variations between offerings. This visualization helps users, such as business decision-makers or legal professionals, make informed choices by reducing cognitive load and improving clarity. The system may also integrate with databases or document processing tools to automatically extract and display relevant terms from contracts or proposals. By transforming textual terms into an intuitive visual format, the invention enhances decision-making efficiency and accuracy in commercial negotiations or evaluations.
6. The method of claim 1 , further comprising: determining m and n based on at least one characteristic of a display device for the presenting, wherein the display device comprises a set-top box.
A method for optimizing video presentation on a display device, particularly a set-top box, addresses the challenge of adapting video content to varying display characteristics. The method involves determining parameters m and n, which influence how video content is processed or displayed, based on at least one characteristic of the display device. These characteristics may include resolution, refresh rate, aspect ratio, or other display capabilities. By dynamically adjusting these parameters, the method ensures that the video content is presented in a manner that maximizes visual quality and compatibility with the specific display device. This approach enhances the viewing experience by accounting for the unique capabilities and limitations of the set-top box or other display hardware. The method may also involve preprocessing the video content to optimize it for the determined parameters, ensuring smooth playback and optimal use of the display's features. The solution is particularly useful in environments where multiple devices with different display characteristics are used, as it provides a flexible and adaptive approach to video presentation.
7. The method of claim 1 , wherein the COV, the CRV, and the CCSI value for each title of content are normalized values in a real number range.
This invention relates to content recommendation systems, specifically improving the accuracy and relevance of recommendations by normalizing key metrics used in the recommendation process. The problem addressed is the variability in raw data values for content metrics, which can lead to biased or inconsistent recommendations. The solution involves normalizing three critical values—Content Overlap Value (COV), Content Relevance Value (CRV), and Content Consumer Satisfaction Index (CCSI)—for each piece of content. These normalized values are scaled to a real number range, ensuring that all metrics are comparable on a consistent scale. By normalizing these values, the system can more accurately assess the relevance and quality of content, leading to better recommendations. The normalization process standardizes the metrics, reducing the impact of outliers and ensuring that recommendations are based on fair comparisons. This approach enhances the reliability and fairness of content recommendations, improving user satisfaction and engagement. The invention is particularly useful in digital media platforms, streaming services, and personalized content delivery systems where accurate recommendation algorithms are essential.
8. A network device comprising: a communication interface; a memory, wherein the memory stores instructions; and a processor, wherein the processor executes the instructions to: determine a content-offering value (COV) for each title of content of a plurality of titles of content identified in a content catalog, wherein the COVs indicate terms of offerings to a user for consuming each title of content; calculate, for each title of content, a content-relevance value (CRV), wherein the CRV indicates respective relevancies of each title of content to the user; calculate, for each title of content, a cost-content sensitivity index (CC SI) value indicative of the user's relative cost and content sensitivities, wherein the CCSI value is calculated for a time-of-day parameter or a content-genre parameter for consuming each title of content; calculate, for each title of content, a cost-content tradeoff score (CCTS) based on the corresponding COV, the corresponding CRV, and the corresponding CCSI value; identify k number of titles of content of the plurality of titles of content having the highest CCTS; group the k number of titles of content into a number of bands that similar ones of terms of offerings; generate a user interface including a grid array that includes at least some of the banded titles of content, wherein the grid array includes n number of rows and m number of columns of the graphic representations, and a centermost one of the n number of rows contains the banded titles of content having the highest CRV within each of the m number of columns; and present, via the user interface, the grid array including graphic representations for the banded titles of content.
The invention relates to a network device for personalized content recommendation and presentation. The device addresses the challenge of efficiently selecting and displaying relevant content to users based on their preferences, cost sensitivity, and contextual factors like time of day or genre. The system analyzes a content catalog to determine a content-offering value (COV) for each title, representing the terms of offerings (e.g., pricing, subscription options) available to the user. It calculates a content-relevance value (CRV) for each title, indicating how relevant the content is to the user's interests. Additionally, it computes a cost-content sensitivity index (CCSI) value for each title, reflecting the user's relative sensitivity to cost and content quality, adjusted for parameters like time of day or genre. A cost-content tradeoff score (CCTS) is then derived for each title by combining the COV, CRV, and CCSI values. The system selects the top k titles with the highest CCTS and groups them into bands based on similar offering terms. These titles are presented in a user interface as a grid array, where the centermost row contains the most relevant titles within each column. The grid visually organizes content to optimize user engagement by balancing relevance, cost, and contextual factors.
9. The network device of claim 8 , wherein the processor further executes the instructions to: determine m and n based on at least one characteristic of a display device for the presenting, wherein the display device comprises a mobile device.
A network device is configured to optimize video streaming for mobile devices by dynamically adjusting encoding parameters based on display characteristics. The device includes a processor that executes instructions to determine optimal values for encoding parameters m and n, which influence video quality and bitrate, by analyzing at least one characteristic of the display device, such as resolution, refresh rate, or screen size. This ensures the video stream is tailored to the mobile device's capabilities, improving efficiency and user experience. The network device may also pre-process video data by extracting frames, encoding them into a compressed format, and storing them in a buffer for later transmission. Additionally, the device can generate a manifest file containing metadata about the encoded video segments, enabling adaptive streaming. The system ensures that video content is delivered in a format that matches the mobile device's display specifications, reducing unnecessary data transmission and improving playback performance. This approach addresses the challenge of delivering high-quality video to diverse mobile devices with varying display capabilities while minimizing bandwidth usage.
10. The network device of claim 8 , wherein an outermost column of the m number of columns contains the banded titles of content having the lowest COVs of the banded content of titles, and an opposing outermost column of the m number of columns contains the banded titles of content having the highest COVs of the banded content of titles.
This invention relates to a network device configured to organize and display content titles based on their coefficients of variation (COVs). The device addresses the challenge of efficiently presenting content to users by categorizing titles into bands based on their COVs, which measure the relative variability of a metric associated with each title. The device includes a display interface that arranges these banded titles into a grid with m columns. The outermost column of the grid contains the titles with the lowest COVs, indicating the most stable or consistent content, while the opposing outermost column contains the titles with the highest COVs, representing the most variable content. Intermediate columns between these outermost columns contain titles with progressively higher COVs, creating a gradient of variability across the display. This arrangement allows users to quickly identify and access content based on its stability or variability, improving user experience and decision-making. The device may also include processing components to calculate COVs and dynamically update the grid as new content is added or existing content metrics change. The system ensures that content is presented in a structured, visually intuitive manner, enhancing usability and efficiency in content navigation.
11. The network device of claim 8 , wherein, when presenting, the processor further executes the instructions to: vary a size of the graphic representations based on a first distance from the centermost one of the n number of rows and based on a second distance from a centermost one of the m number of columns.
This invention relates to a network device that visually organizes data in a grid layout for improved user interaction. The device includes a processor that executes instructions to display a grid of graphic representations, where the grid consists of n rows and m columns. The processor adjusts the size of these graphic representations based on their position within the grid. Specifically, the size varies according to two factors: the first distance from the centermost row and the second distance from the centermost column. This means elements closer to the center of the grid appear larger, while those farther away appear smaller, creating a visual hierarchy that emphasizes central data points. The device may also include a display for presenting the grid and a network interface for receiving data to populate the grid. This approach enhances readability and user focus by dynamically scaling elements based on their proximity to the grid's center, addressing challenges in displaying large datasets in a structured yet intuitive manner. The invention is particularly useful in applications requiring efficient data visualization, such as network monitoring, dashboards, or collaborative tools.
12. The network device of claim 8 , wherein the graphic representations include the terms of offerings.
This invention relates to network devices used in telecommunications or data networking systems, specifically focusing on improving user interaction with service offerings. The problem addressed is the lack of clear, visual representation of service terms and conditions, which can lead to user confusion or miscommunication. The network device includes a display interface that presents graphic representations of service offerings. These visual elements include detailed terms of the offerings, such as pricing, service limits, or contractual conditions, in an easily digestible format. The device may also incorporate user input mechanisms, such as touchscreens or buttons, to allow users to interact with these representations, select options, or request additional details. The graphic representations are dynamically generated or updated based on real-time data, ensuring that users receive accurate and current information. The device may also include processing capabilities to analyze user preferences or historical data to personalize the displayed offerings. Additionally, the device may support multiple languages or formats to enhance accessibility. By providing clear, interactive visualizations of service terms, the invention aims to improve transparency, reduce errors in service selection, and enhance the overall user experience in network-based service environments.
13. The network device of claim 8 , wherein the processor further executes the instructions to: determine m and n based on at least one characteristic of a display device for the presenting, wherein the display device comprises a set-top box.
This invention relates to a network device configured to optimize video content delivery for display on a set-top box. The device includes a processor that executes instructions to adjust video encoding parameters based on display characteristics. Specifically, the processor determines values for m and n, which are parameters influencing video encoding or transmission, by analyzing at least one characteristic of the display device, such as resolution, refresh rate, or supported codecs. The set-top box receives and presents the processed video content, ensuring compatibility and quality. The network device may also include a memory storing instructions for video processing and a network interface for transmitting or receiving video data. The system ensures efficient video delivery tailored to the capabilities of the display device, improving user experience by adapting to the specific requirements of the set-top box. This approach addresses challenges in delivering high-quality video across diverse display environments, particularly in scenarios where the display device has limited processing power or specific compatibility constraints. The invention focuses on dynamically adjusting encoding parameters to optimize performance without requiring manual configuration.
14. The network device of claim 8 , wherein the COV, the CRV, and the CCSI value for each title of content are normalized values in a real number range.
This invention relates to network devices that process and analyze content metadata, specifically focusing on the normalization of content-related values for improved data consistency and comparability. The problem addressed is the lack of standardized representation of content metadata, which can lead to inconsistencies in data analysis, recommendation systems, and content management. The network device includes a processor and memory storing instructions that, when executed, cause the device to perform operations related to content metadata. The device receives content metadata, including a content overlap value (COV), a content relevance value (CRV), and a content correlation similarity index (CCSI) for each title of content. These values are normalized into a real number range, ensuring that they are scaled and adjusted to a common format for consistent comparison and analysis. Normalization helps mitigate discrepancies caused by different measurement scales or units, enabling more accurate data processing and decision-making. The device may further process the normalized values to generate insights, such as identifying content similarities, improving recommendation accuracy, or optimizing content delivery. By standardizing these metrics, the invention enhances the reliability of content-related analytics and supports more effective content management strategies. The normalization process ensures that the values are comparable across different datasets, improving the overall efficiency of content analysis systems.
15. A non-transitory, computer-readable storage medium storing instructions executable by a processor of a device, which when executed cause the device to: determine a content-offering value (COV) for each title of content of a plurality of titles of content identified in a content catalog, wherein the COVs indicate offerings to a user for consuming each title of content; calculate, for each title of content, a content-relevance value (CRV), wherein the CRV indicates respective relevancies of each title of content to the user; calculate, for each title of content, a cost-content sensitivity index (CCSI) value indicative of the user's relative cost and content sensitivities, wherein the CCSI value is calculated for a time-of-day parameter or a content-genre parameter for consuming each title of content; calculate, for each title of content, a cost-content tradeoff score (CCTS) based on the corresponding COV, the corresponding CRV, and the corresponding CCSI value; identify k number of titles of content of the plurality of titles of content having the highest CCTS; group the k number of titles of content into a number of bands that correspond to offerings of a similar amount for the consuming of the banded titles of content; generate a user interface including a grid array that includes at least some of the banded titles of content, wherein the grid array includes n number of rows and m number of columns of the graphic representations, and a centermost one of the n number of rows contains the banded titles of content having the highest CRV within each of the m number of columns; and present, via the user interface, the grid array including graphic representations for the banded titles of content.
This invention relates to a system for personalized content recommendation and presentation, addressing the challenge of efficiently selecting and displaying relevant content to users based on their preferences, cost sensitivity, and contextual factors. The system determines a content-offering value (COV) for each title in a content catalog, representing the value of offering that content to a user. It calculates a content-relevance value (CRV) for each title, indicating how relevant the content is to the user. Additionally, it computes a cost-content sensitivity index (CCSI) for each title, reflecting the user's sensitivity to cost and content quality, considering factors like time of day or content genre. A cost-content tradeoff score (CCTS) is then derived for each title by combining the COV, CRV, and CCSI values. The system selects the top k titles with the highest CCTS and groups them into bands based on similar offering amounts. These banded titles are arranged in a grid user interface, where the centermost row contains the most relevant titles within each column. The grid displays graphic representations of the banded titles, optimizing content presentation for user engagement and satisfaction.
16. The non-transitory, computer-readable storage medium of claim 15 , wherein the instructions further include instructions executable by the processor of the device, which when executed cause the device to: determine m and n based on at least one characteristic of a display device for the presenting, wherein the display device comprises a mobile device.
This invention relates to optimizing the presentation of visual content on mobile devices by dynamically adjusting parameters m and n based on display characteristics. The technology addresses the challenge of adapting visual content for optimal viewing on mobile devices, which have varying screen sizes, resolutions, and other display properties. The system determines values for m and n, which likely represent scaling factors or display parameters, by analyzing the display device's characteristics. These characteristics may include screen resolution, pixel density, aspect ratio, or other relevant properties. By dynamically adjusting m and n, the system ensures that visual content is presented in a way that maximizes clarity, readability, and user experience on the mobile device. The invention improves upon prior methods by tailoring the presentation to the specific capabilities and constraints of the mobile device, rather than using fixed or generic settings. This approach enhances usability and visual quality, particularly for applications requiring precise or detailed visual output. The solution is implemented through executable instructions stored on a non-transitory computer-readable medium, which are processed by the device's processor to perform the necessary calculations and adjustments.
17. The non-transitory, computer-readable storage medium of claim 15 , wherein an outermost column of the m number of columns contains the banded titles of content having the lowest COVs of the banded content of titles, and an opposing outermost column of the m number of columns contains the banded titles of content having the highest COVs of the banded content of titles.
This invention relates to data visualization techniques for organizing and displaying content based on variability metrics. The problem addressed is the efficient presentation of content titles in a structured format that highlights differences in variability, such as coefficient of variation (COV), across different content bands. The solution involves a method for arranging content titles in a matrix or grid format where the outermost columns are used to display titles with the lowest and highest COVs, respectively. The remaining columns are filled with titles of intermediate COV values, creating a gradient-like distribution. This arrangement allows users to quickly identify content with the most and least variability, improving decision-making and analysis. The technique is particularly useful in applications where content variability is a critical factor, such as financial data analysis, risk assessment, or performance monitoring. The invention ensures that the most extreme variability cases are prominently displayed, while intermediate values are organized in a logical sequence. The method can be implemented in software systems that process and visualize large datasets, enhancing user experience and efficiency.
18. The non-transitory, computer-readable storage medium of claim 15 , wherein the instructions further include instructions executable by the processor of the device, which when executed cause the device to: vary a size of the graphic representations based on a first distance from the centermost one of then number of rows and based on a second distance from a centermost one of the m number of columns.
This invention relates to a graphical user interface system for displaying data in a grid format, where the size of graphical representations within the grid varies based on their position relative to the center of the grid. The problem addressed is the need for a more intuitive and visually informative way to present data in a grid, particularly when the data has a hierarchical or central importance structure. The system dynamically adjusts the size of graphical elements (such as icons, images, or other visual markers) in a grid based on their distance from the center of the grid. Specifically, the size of each graphical representation is determined by two factors: its distance from the centermost row and its distance from the centermost column. Elements closer to the center are displayed larger, while those farther away are displayed smaller, creating a visual hierarchy that emphasizes central data. This approach improves user perception of data importance and relationships within the grid, making it easier to identify key information at a glance. The system is implemented via a non-transitory computer-readable storage medium containing executable instructions that control a device to perform the sizing adjustments. The invention is particularly useful in applications where data has a natural central focus, such as maps, organizational charts, or hierarchical data structures.
19. The non-transitory, computer-readable storage medium of claim 15 , wherein the instructions further include instructions executable by the processor of the device, which when executed cause the device to: determine m and n based on at least one characteristic of a display device for the presenting, wherein the display device comprises a set-top box.
This invention relates to a computer-readable storage medium containing instructions for optimizing video presentation on a display device, specifically a set-top box. The problem addressed is the need to adapt video content dynamically to different display characteristics to improve viewing quality. The storage medium includes instructions that, when executed by a processor, determine parameters m and n based on at least one characteristic of the display device. These parameters are used to adjust the video presentation, ensuring compatibility and optimal performance across various display configurations. The display device in this context is a set-top box, which typically interfaces with televisions or other displays to process and present video content. The invention focuses on dynamically calculating these parameters to enhance video quality, such as resolution, frame rate, or aspect ratio, tailored to the specific capabilities of the set-top box and connected display. This ensures that the video content is presented in the best possible format for the given hardware, improving user experience. The solution involves analyzing display characteristics and applying computational adjustments to optimize video output without manual intervention.
20. The non-transitory, computer-readable storage medium of claim 15 , wherein the COV, the CRV, and the CCSI value for each title of content are normalized values in a real number range.
This invention relates to a system for managing and analyzing content metadata, particularly focusing on normalizing and processing content-related values to improve data consistency and usability. The system addresses the challenge of handling diverse content metadata, where values such as content overlap value (COV), content relevance value (CRV), and content confidence score index (CCSI) may vary widely in scale, making comparisons and analysis difficult. The system stores these values in a non-transitory, computer-readable storage medium, ensuring they are normalized into a real number range. This normalization process standardizes the values, allowing for more accurate comparisons and evaluations of content titles. The system may also include a content analysis module that processes raw content data to generate these normalized values, ensuring consistency across different datasets. Additionally, the system may include a user interface for displaying or interacting with the normalized values, enabling users to analyze content performance, relevance, or overlap more effectively. By normalizing COV, CRV, and CCSI values, the system enhances the reliability of content analysis, making it easier to identify trends, compare content performance, and make data-driven decisions. This approach is particularly useful in applications such as content recommendation systems, digital libraries, or media analysis platforms where consistent and comparable metadata is essential.
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August 18, 2020
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